From Static Policies to Adaptive Priors in Offline Reinforcement Learning
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arXiv:2609.35880v1 Announce Type: new Abstract: Offline reinforcement learning (RL) has traditionally focused on learning policies for direct deployment under conservative objectives, where uncertainty outside the offline dataset is treated pessimistically to ensure robustness. We argue that this f…
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- 2026-09-30 04:00 · arXiv cs.LG
From Static Policies to Adaptive Priors in Offline Reinforcement Learning